Results 41 to 50 of about 25,841 (263)
Stochastic Sensitivity Analysis in Data Envelopment Analysis
Fuzzy Optimization and Modeling, 2021 Data Envelopment Analysis (DEA) is an impeccable approach based on mathematical programming for the efficiency measurement of homogeneous Decision-Making Units (DMUs).
Nasim Arabjazi +3 more
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Stochastic Constraint Programming [PDF]
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017 Combinatorial optimisation problems often contain uncertainty that has to be taken into account to pro- duce realistic solutions. One way of describing the uncertainty is using scenarios, where each sce- nario describes different potential sets of problem parameters based on random distributions or his- torical data.
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Subdifferential Convergence in Stochastic Programs [PDF]
SIAM Journal on Optimization, 1995 Summary: We discuss convergence behavior of subdifferentials in approximation schemes for stochastic programs. This information is useful for solving stochastic programs by nonlinear programming techniques. \textit{R. J.-B. Wets} [`Variational inequalities and complementarity problems', New York, 375-404 (1980)] showed that equiconvergence of closed ...
John R. Birge, Liqun Qi 0001
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IET Renewable Power GenerationStochastic programming is a competitive tool in power system uncertainty management. Traditionally, stochastic programming assumes uncertainties to be exogenous and independent of decisions.
Wenqian Yin, Yunhe Hou
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FEBS Letters, EarlyView.Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
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Solving the General Fuzzy Random Bilevel Programming Problem Through
IEEE Access, 2018 This paper addresses the general fuzzy random bilevel programming problem in which not only both objective functions, but also the constraints contain fuzzy random variable coefficients.
Aihong Ren
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IEEE Access, 2020 In recent years, more and more oil companies adopt initiative delivery mode to make the refined oil secondary distribution scheme. In this work, we focus on the optimization problem of refined oil secondary distribution based on the initiative ...
Zhenping Li, Yuwei Zhang, Guowei Zhang
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Effects of Probability Function on the Performance of Stochastic Programming [PDF]
Journal of Optimization in Industrial Engineering, 2018 Stochastic programming is a valuable optimization tool where used when some or all of the design parameters of an optimization problem are defined by stochastic variables rather than by deterministic quantities.
Mohammad Ebrahim Karbaschi +1 more
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A Weighted Robust Two-Stage Stochastic Optimization Model for Supplier Selection and Order Allocation under Uncertainty [PDF]
چشمانداز مدیریت صنعتی, 2020 This paper presents an integrated model as a combination of fuzzy analytical hierarchy process (FAHP), scenario-based two-stage stochastic programming and robust optimization approaches for the problem of supplier selection and order allocation under ...
Mostafa Jokar +2 more
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
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